Application of Monte Carlo simulation to optimal maintenance scheduling in a parallel-redundant system

Author

Billinton, R. ; Pan, J.

Author_Institution

Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada

Volume

147

Issue

5

fYear

2000

fDate

9/1/2000 12:00:00 AM

Firstpage

274

Lastpage

278

Abstract

A modified distribution function is created based on the assumption that the component useful life phase is associated with an exponential distribution and the wearout period is subject to a Weibull distribution (β>1). Using the modified distribution function, a Monte Carlo simulation approach is used to obtain the total failure frequency and optimum maintenance interval for a parallel-redundant system where each component can enter its wearout period. Two examples are used to illustrate the simulation procedure. The effect of the Weibull parameter β on the optimum maintenance interval for a parallel-redundant system is illustrated

Keywords

Monte Carlo methods; Weibull distribution; exponential distribution; maintenance engineering; power systems; redundancy; scheduling; Monte Carlo simulation; Weibull distribution; Weibull parameter; exponential distribution; modified distribution function; optimal maintenance scheduling; optimum maintenance interval; parallel-redundant system; power system components; total failure frequency;

fLanguage

English

Journal_Title

Generation, Transmission and Distribution, IEE Proceedings-

Publisher

iet

ISSN

1350-2360

Type

jour

DOI

101049/ip-gtf:20000603

Filename

874987